Adding GAN-generated synthetic MRI to U-Net training data degrades brain tumor segmentation performance, but the paper's evidence for a monotonic, significant decline is weakened by contradictory table values and confounded experimental design.
Data poi- soning attacks over diabetic retinopathy images classification
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Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation
Adding GAN-generated synthetic MRI to U-Net training data degrades brain tumor segmentation performance, but the paper's evidence for a monotonic, significant decline is weakened by contradictory table values and confounded experimental design.